FIN 554

spring 2022
 
All Classes
Algorithmic Trading Systems Design and Testing

Credit: 4 hours.

Provides a detailed research process and tools for replicating, assessing, conceptualizing, and developing systematic trading strategies. Students will apply their knowledge in hands-on projects to replicate and evaluate existing research and to create and evaluate a new strategy model. Students will use the R Language for Statistical Computing and Graphics to replicate academic research and evaluate the claims made in papers. Students will also construct a non-trivial strategy from scratch, evaluate the power of each of its components, and examine the likelihood of overfitting. Projects are designed to mimic as closely as possible the day-to-day research activities of working strategy quants, so that students will have practical experience building, testing, and evaluating quantitative models.

4 graduate hours. No professional credit. Credit is not given if student received credit in FIN 580 FIN 580 Basics of Trading Algorithm Design CRN 46818 and/or FIN 580 Analysis and Testing of Trading Algorithms CRN 46819. Prerequisite: Restricted to students in the MSFE Program.

Closed
Section Status Closed
Open
Section Status Open
Pending
Section Status Pending
Open (Restricted)
Section Status Open (Restricted)
Unknown
Section Status Unknown
Detail Status CRN Type Section Time Day Location Instructor